University of Oulu

Real-time head movement tracking through earables in moving vehicles

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Author: Shojaeifard, Leyla1
Organizations: 1University of Oulu, Faculty of Information Technology and Electrical Engineering, Department of Information Processing Science, Information Processing Science
Format: ebook
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 1.7 MB)
Pages: 49
Persistent link: http://urn.fi/URN:NBN:fi:oulu-202306212711
Language: English
Published: Oulu : L. Shojaeifard, 2023
Publish Date: 2023-06-21
Thesis type: Master's thesis
Tutor: Peltonen, Ella
Reviewer: Peltonen, Ella
Annanperä, Elina
Description:

Abstract

The Internet of Things is enabling innovations in the automotive industry by expanding the capabilities of vehicles by connecting them with the cloud. One important application domain is traffic safety, which can benefit from monitoring the driver’s condition to see if they are capable of safely handling the vehicle. By detecting drowsiness, inattentiveness, and distraction of the driver it is possible to react before accidents happen. This thesis explores how accelerometer and gyroscope data collected using earables can be used to classify the orientation of the driver’s head in a moving vehicle. It is found that machine learning algorithms such as Random Forest and K-Nearest Neighbor can be used to reach fairly accurate classifications even without applying any noise reduction to the signal data. Data cleaning and transformation approaches are studied to see how the models could be improved further. This study paves the way for the development of driver monitoring systems capable of reacting to anomalous driving behavior before traffic accidents can happen.

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Copyright information: © Leyla Shojaeifard, 2023. Except otherwise noted, the reuse of this document is authorised under a Creative Commons Attribution 4.0 International (CC-BY 4.0) licence (https://creativecommons.org/licenses/by/4.0/). This means that reuse is allowed provided appropriate credit is given and any changes are indicated. For any use or reproduction of elements that are not owned by the author(s), permission may need to be directly from the respective right holders.
  https://creativecommons.org/licenses/by/4.0/